| Let’s meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues D Goller, A Krumer European Journal of Operational Research 286 (2), 740-754, 2020 | 35 | 2020 |
| Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed D Goller, M Lechner, A Moczall, J Wolff Labour Economics, 101855, 2020 | 17 | 2020 |
| "Too shocked to search" The COVID-19 shutdowns' impact on the search for apprenticeships D Goller, SC Wolter Swiss Journal of Economics and Statistics 157 (6), 2021 | 4 | 2021 |
| Predicting match outcomes in football by an Ordered Forest estimator D Goller, MC Knaus, M Lechner, G Okasa A Modern Guide to Sports Economics, 2021 | 3 | 2021 |
| Active labour market policies for the long-term unemployed: New evidence from causal machine learning D Goller, T Harrer, M Lechner, J Wolff Economics Working Paper Series, 2021 | 3 | 2021 |
| Analysing a built-in advantage in asymmetric darts contests using causal machine learning D Goller Annals of Operations Research, 1-31, 2022 | 1 | 2022 |
| Sitting next to a dropout: Study success of students with peers that came to the lecture hall by a different route D Goller, A Diem, SC Wolter Economics of Education Working Paper Series, 2022 | | 2022 |
Michael LechnerUniversity of St. Gallen, Swiss Insitute for Empirical Economic Research (SEW)Bestätigte E-Mail-Adresse bei unisg.ch
